Categories
CVE-2026-41481 medium CVSS 6.5

SSRF (Server-Side Request Forgery) in langchain-text-splitters (CVE-2026-41481)

Summary

SSRF in langchain-text-splitters (CVE-2026-41481). Confidential information can be exposed externally. Exploitable via Document. Mitigation: upgrade to 1.1.2 or later.

Original description

The description as published by the source.

Summary

HTMLHeaderTextSplitter.split_text_from_url() validated the initial URL using validate_safe_url() but then performed the fetch with requests.get() with redirects enabled (the default). Because redirect targets were not revalidated, a URL pointing to an attacker-controlled server could redirect to internal, localhost, or cloud metadata endpoints, bypassing SSRF protections.

The response body is parsed and returned as Document objects to the calling application code. Whether this constitutes a data exfiltration path depends on the application: if it exposes Document contents (or derivatives) back to the requester who supplied the URL, sensitive data from internal endpoints could be leaked. Applications that store or process Documents internally without returning raw content to the requester are not directly exposed to data exfiltration through this issue.

Affected versions

  • langchain-text-splitters < 1.1.2

Patched versions

  • langchain-text-splitters >= 1.1.2 (requires langchain-core >= 1.2.31)

Affected code

File: libs/text-splitters/langchain_text_splitters/html.py — split_text_from_url()

The vulnerable pattern validated the URL once then fetched with redirects enabled:

validate_safe_url(url, allow_private=False, allow_http=True)
response = requests.get(url, timeout=timeout, **kwargs)

Attack scenario

  1. A developer passes external URLs to split_text_from_url(), relying on its
    built-in `validate_safe_url…

Source: OSV.dev (Open Source Vulnerabilities) NVD GitHub Advisory OSV

Auto-generated summary

Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.

A vulnerability tracked as CVE-2026-41481 has been found in langchain-text-splitters.
Attackers can target a specific entry point like Document over the network to misuse the product.
Confidential information can be exposed externally. CVSS score: 6.5/10.
What to do: upgrade langchain-text-splitters to 1.1.2 or later.
If unsure, ask your IT team or search "langchain-text-splitters CVE-2026-41481" on the vendor's site.

CVE-2026-41481 (langchain-text-splitters) — CWE-918 / CVSS v3 6.5
Attack vector: remote (network-reachable) / unauthenticated
Attack surface: Document / SSRFSafeSyncTransport
Patched: 1.1.2 — apply immediately
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.

❓ What is the problem

SSRF (CWE-918) exists in langchain-text-splitters. Attackers reach the vulnerable code path via Document without authentication.

📍 Affected scope

Check the vendor advisory for the affected versions of langchain-text-splitters. Attack surface: Document / SSRFSafeSyncTransport.

🔥 Severity

Severity: Medium (CVSS 6.5/10). Confidential information can be exposed externally.

🔧 How to fix

Update to 1.1.2.

🛡️ Workaround

Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.

🔍 Detection

Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'langchain-text-splitters' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.

Response actions

Concrete steps and command examples for SOC/SRE teams to execute in order

  1. 1
    Identify exposure identify
    grep -r 'langchain-text-splitters' . | grep -v node_modules

    リポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で langchain-text-splitters を grep し、稼働しているサービス・バージョンを把握する。

  2. 2
    Apply patch patch
    Upgrade langchain-text-splitters to 1.1.2

    ステージング環境で 1.1.2 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。

  3. 3
    Post-deployment verification verify
    Confirm patched version is live in production

    パッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。

Affected packages

PyPI langchain-text-splitters
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.1.2"}]}]
pip langchain-text-splitters
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.1.2"}]}]

References

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